output
20202025
most citedActive galactic nuclei through the prism of galaxy clusters: bounds on axion-like particles

5 citations

5 papers

astro-ph.HE2025★ 5 cited

Active galactic nuclei through the prism of galaxy clusters: bounds on axion-like particles

Denys Malyshev, Lidiia Zadorozhna, Yuriy Bidasyuk +2

Hypothetical axion-like particles (ALPs) are of interest because of their potential to act as dark matter or to reveal information about yet undiscovered fundamental constituents o…

stat.ME2025

Hilbert space methods for approximating multi-output latent variable Gaussian processes

Soham Mukherjee, Manfred Claassen, Paul-Christian Bürkner

Gaussian processes are a powerful class of non-linear models, but have limited applicability for larger datasets due to their high computational complexity. In such cases, approxim…

astro-ph.HE2023★ 3 cited

Expansion and ongoing cosmic ray acceleration in HESS J1731-347

Victor Doroshenko, Gerd Pühlhofer, Andrea Santangelo

Diffusive shock acceleration in supernova remnants (SNRs) is considered one of the prime mechanisms for Galactic Cosmic Ray (GCR) acceleration. It is still unclear, however, whethe…

cs.CV2020★ 3 cited

A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images

Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin +1

Astrophysical images in the GeV band are challenging to analyze due to the strong contribution of the background and foreground astrophysical diffuse emission and relatively broad…

q-bio.NC2020★ 2 cited

Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data

Alessandro Salatiello, Martin A. Giese

Recurrent Neural Networks (RNNs) are popular models of brain function. The typical training strategy is to adjust their input-output behavior so that it matches that of the biologi…